Model Predictive Control System Design and Implementation Using MATLAB®
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Im...
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| Format: | Book |
| Language: | English |
| Published: |
Springer
2017
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| Subjects: | |
| Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/31266 |
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| Institution: | Vietnam National University, Hanoi |
| Language: | English |
| Summary: | Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs.
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages:
• continuous- and discrete-time MPC problems solved in similar design frameworks;
• a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and
• a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. |
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